class_docstr: Abstract class for a node in a Ray task graph.
  
  A node has a type (e.g., FunctionNode), data (e.g., function options and
  body), arguments (Python values, DAGNodes, and DAGNodes nested within Python
  argument values) and options (Ray API .options() used for function, class
  or class method)
docstr: Execute this DAG using the Ray default executor _execute_impl().
  
  Args:
      _ray_cache_refs: If true, stores the the default executor's return values
          on each node in this DAG in a cache. These should be a mix of:
          - ray.ObjectRefs pointing to the outputs of method and function nodes
          - Serve handles for class nodes
          - resolved values representing user input at runtime
docstr_tok: ["Execute","this","DAG","using","the","Ray","default","executor","_execute_impl","(",")",".","Args",":","_ray_cache_refs",":","If","true",",","stores","the","the","default","executor","'s","return","values","on","each","node","in","this","DAG","in","a","cache",".","These","should","be","a","mix","of",":","-","ray.ObjectRefs","pointing","to","the","outputs","of","method","and","function","nodes","-","Serve","handles","for","class","nodes","-","resolved","values","representing","user","input","at","runtime"]
code: def execute(
      self, *args, _ray_cache_refs: bool = False, **kwargs
  ) -> Union[ray.ObjectRef, "ray.actor.ActorHandle"]:
      """Execute this DAG using the Ray default executor _execute_impl().
  
      Args:
          _ray_cache_refs: If true, stores the the default executor's return values
              on each node in this DAG in a cache. These should be a mix of:
              - ray.ObjectRefs pointing to the outputs of method and function nodes
              - Serve handles for class nodes
              - resolved values representing user input at runtime
      """
  
      def executor(node):
          return node._execute_impl(*args, **kwargs)
  
      result = self.apply_recursive(executor)
      if _ray_cache_refs:
          self.cache_from_last_execute = executor.cache
      return result
  
imports: import ray
  from ray.dag.base import DAGNodeBase
  from ray.dag.py_obj_scanner import _PyObjScanner
  from ray.util.annotations import DeveloperAPI
  from typing import Optional, Union, List, Tuple, Dict, Any, TypeVar, Callable
  import uuid
  import asyncio
  from ray.dag.compiled_dag_node import build_compiled_dag_from_ray_dag
label_desc: Use image node_id 9 for calling the DAGNode obj's underlying member method code with example usage: obj.execute() and returns: result, node